# apache/paimon

Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.

Repository: https://github.com/apache/paimon
Canonical: https://ross.abutalabs.com/products/paimon
Homepage: https://paimon.apache.org/
Language: Java
License: Apache-2.0
License Family: permissive
Topics: big-data, data-ingestion, flink, paimon, real-time-analytics, spark, table-store, streaming-datalake
Last push: 2026-08-26T16:30:17+00:00

## Health v2 (maintenance only)
Score: 87/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 64, longevity 100
- inputs: {"age_days": 1694, "days_push": 7, "days_rel": 26, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3384, forks 1385 (observed 2026-08-28T04:07:58.695457+00:00)

## What it is
Apache Paimon is a lakehouse table format that combines lake format with LSM tree structure to support real-time streaming updates. It enables building realtime lakehouse architectures with Apache Flink and Apache Spark for both streaming and batch operations.

## Use cases
- build a realtime lakehouse with streaming and batch processing
- store streaming updates in a data lake table format
- query up-to-date tables from Flink and Spark
- replace Flink Table Store with an Apache lake format
- manage changelog data in object storage with LSM merges
- unify offline and online analytics on one lakehouse storage

## When to choose
- you need frequent streaming updates and changelog semantics in a lakehouse, which formats like Iceberg handle less naturally
- your stack is Flink- or Spark-based on the JVM
- you want an Apache Foundation project with active community support

## When to avoid
- you only need append-only analytics where Iceberg or Delta Lake ecosystems are more mature
- your workloads are outside the JVM/Flink/Spark ecosystem
- you need a full database rather than a table format

## Facets
- artifact type: library
- maturity: active
- function: database, streaming, etl
- domain: big-data, databases, analytics
- platform: jvm, cloud
- tags: lakehouse, table-format, apache-flink, apache-spark, lsm-tree, streaming-updates, data-lake, data-engineering

## Member repositories
- apache/paimon (main) score 87

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:58.695457+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:39:29.032879+00:00, confidence not recorded.
  - readme: https://github.com/apache/paimon (fetched 2026-08-28T04:07:58.695457+00:00, sha bb923522d97c)
  - homepage: https://paimon.apache.org/ (fetched 2026-08-29T09:33:11.683829+00:00, sha 79599ae429e0)
- Data as of 2026-08-30T08:39:29.467469+00:00.